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Author:
Facebook AI Research
License:
MIT
Summary:
A Python toolbox for performing gradient-free optimization
Latest version:
1.0.2
Required dependencies:
bayesian-optimization
|
cma
|
numpy
|
olymp
|
pandas
|
typing-extensions
Optional dependencies:
autodocsumm
|
ax-platform
|
bayes-optim
|
black
|
cdt
|
directsearch
|
docutils
|
fcmaes
|
glfw
|
gym
|
gym-anm
|
hiplot
|
hyperopt
|
image-quality
|
iohexperimenter
|
keras
|
keras-preprocessing
|
loguru
|
matplotlib
|
mixsimulator
|
mujoco
|
mypy
|
nlopt
|
opencv-python
|
openpyxl
|
pandas
|
pillow
|
poap
|
py-bobyqa
|
pybullet
|
pygame
|
pylint
|
pymoo
|
pyomo
|
pyparsing
|
pyproj
|
pysot
|
pytest
|
pytest-circleci-parallelized
|
pytest-cov
|
recommonmark
|
requests
|
scikit-image
|
scikit-learn
|
scikit-optimize
|
scipy
|
setuptools
|
silence-tensorflow
|
smac
|
sphinx
|
sphinx-rtd-theme
|
tensorflow
|
tensorflow-estimator
|
tensorflow-probability
|
torch
|
torchvision
|
tqdm
|
twine
|
wheel
|
xlrd
|
xlwt
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